iPhone 16
Geekbench AI Score
4471
Single Precision Score
4793
Half Precision Score
4758
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 04:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
878
163.3 IPS |
|
|
Image Classification (HP)
|
100% |
841
156.4 IPS |
|
|
Image Classification (Q)
|
96% |
921
172.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4090
66.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3831
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13540
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13823
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13785
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (Q)
|
92% |
1592
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
7078
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
8358
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
7316
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11728
90.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11796
90.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11261
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29812
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31600
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30772
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4023
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4522
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1134
19.6 IPS |
